Cover-management impacts on runoff and sediment dynamics at different slope positions in Northeast China

The C-factor of the Universal Soil Loss Equation (USLE) reflects the impact of vegetation cover and management practices, playing a crucial role in predicting soil erosion. Slope position on rolling hills significantly affects soil properties and crop growth due to spatial variations in erosion intensity, potentially influencing soil erosion. However, few studies have quantified the effects of corn growth on runoff and sediment processes across different slope positions on long gentle slopes. The simulated rainfall experiments were conducted to investigate the temporal dynamics of runoff and sediment via rescaled range and wavelet analyses and determine the C-factor across slope positions during corn growth under three management practices: bare soil (CK), corn planting (CR), and corn planting with straw mulching (CRST). Results showed that runoff peak occurred at the maturing stage, with increases of 47.90 %, 127.61 %, and 259.53 % under CK, CR and CRST, respectively. The highest runoff rates were observed at the lower slope as it approached the late growth stage. Straw mulching mitigated frequency-domain variations in sediment and runoff, extended the primary cycle of sediment and runoff variations; therefore, delayed the response of runoff and sediment processes to rainfall. Management practices effectively postponed the peak sediment yield. The sediment yield on the middle slope (MS) was 71.46 % higher than that on the lower slope (LS) and 162.08 % higher than that on the upper slope (US). At the MS, the C-factor increased by an average of 106.69 % and 214.32 % individually under CR and CRST compared to other slope positions. Corn planting primarily reduced sediment by decreasing runoff, when runoff surpassed 600 mL·m⁻²min⁻¹ , straw mulching altered the runoff-sediment relationship to further reduce sediment loads thus reducing sediment. This study provides a theoretical support for studying the erosion processes in farmlands, and emphasizes the variation of the C-factor at different slope positions. • This study assessed the cover and management factors of USLE under different slope positions and managements. • Straw mulching significantly mitigated frequency-domain variations in sediment and runoff. • Corn planting mitigated runoff, thereby reducing sediment, whereas straw mulching altered the runoff-sediment relationship. • Measures are needed in farmlands to reduce sediment yield at the seedling stage and runoff yield at the maturing stage.

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2025-02-16
DOI
https://doi.org/10.1016/j.agwat.2025.109373
Citations
2
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
2.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cover-management impacts on runoff and sediment dynamics at different slope positions in Northeast China

Dongyao Li, Zeng Jian, Zhonglu Guo, Wei Li et al.
2 citations
Agricultural Water Management
Soil erosion and sediment transport
2.37
article

Cover-management impacts on runoff and sediment dynamics at different slope positions in Northeast China

Dongyao Li, Zeng Jian, Zhonglu Guo, Wei Li, Hua Li
article en
2 citations

Abstract

The C-factor of the Universal Soil Loss Equation (USLE) reflects the impact of vegetation cover and management practices, playing a crucial role in predicting soil erosion. Slope position on rolling hills significantly affects soil properties and crop growth due to spatial variations in erosion intensity, potentially influencing soil erosion. However, few studies have quantified the effects of corn growth on runoff and sediment processes across different slope positions on long gentle slopes. The simulated rainfall experiments were conducted to investigate the temporal dynamics of runoff and sediment via rescaled range and wavelet analyses and determine the C-factor across slope positions during corn growth under three management practices: bare soil (CK), corn planting (CR), and corn planting with straw mulching (CRST). Results showed that runoff peak occurred at the maturing stage, with increases of 47.90 %, 127.61 %, and 259.53 % under CK, CR and CRST, respectively. The highest runoff rates were observed at the lower slope as it approached the late growth stage. Straw mulching mitigated frequency-domain variations in sediment and runoff, extended the primary cycle of sediment and runoff variations; therefore, delayed the response of runoff and sediment processes to rainfall. Management practices effectively postponed the peak sediment yield. The sediment yield on the middle slope (MS) was 71.46 % higher than that on the lower slope (LS) and 162.08 % higher than that on the upper slope (US). At the MS, the C-factor increased by an average of 106.69 % and 214.32 % individually under CR and CRST compared to other slope positions. Corn planting primarily reduced sediment by decreasing runoff, when runoff surpassed 600 mL·m⁻²min⁻¹ , straw mulching altered the runoff-sediment relationship to further reduce sediment loads thus reducing sediment. This study provides a theoretical support for studying the erosion processes in farmlands, and emphasizes the variation of the C-factor at different slope positions. • This study assessed the cover and management factors of USLE under different slope positions and managements. • Straw mulching significantly mitigated frequency-domain variations in sediment and runoff. • Corn planting mitigated runoff, thereby reducing sediment, whereas straw mulching altered the runoff-sediment relationship. • Measures are needed in farmlands to reduce sediment yield at the seedling stage and runoff yield at the maturing stage.

Agricultural Water ManagementVol. 310
Huazhong Agricultural University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 14%
Soil erosion and sediment transport
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.